4 citations · 4 across the 5 of their papers we have counts for
5 papers
A Causal Language Modeling Detour Improves Encoder Continued Pretraining
Rian Touchent, Eric de la Clergerie
When adapting an encoder to a new domain, the standard approach is to continue training with Masked Language Modeling (MLM). We show that temporarily switching to Causal Language M…
Gaperon: A Peppered English-French Generative Language Model Suite
Nathan Godey, Wissam Antoun, Rian Touchent +4
We release Gaperon, a fully open suite of French-English-coding language models designed to advance transparency and reproducibility in large-scale model training. The Gaperon fami…
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
Rian Touchent, Nathan Godey, Eric de la Clergerie
We introduce Biomed-Enriched, a biomedical text dataset constructed from PubMed via a two-stage annotation process. In the first stage, a large language model annotates 400K paragr…
CamemBERT 2.0: A Smarter French Language Model Aged to Perfection
Wissam Antoun, Francis Kulumba, Rian Touchent +3
French language models, such as CamemBERT, have been widely adopted across industries for natural language processing (NLP) tasks, with models like CamemBERT seeing over 4 million…
CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data
Rian Touchent, Laurent Romary, Eric de la Clergerie
Clinical data in hospitals are increasingly accessible for research through clinical data warehouses. However these documents are unstructured and it is therefore necessary to extr…